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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- lxuechen/phi-2-sft
+- mrm8488/phi-2-coder
+- Walmart-the-bag/phi-2-uncensored
+- ArtifactAI/phi-2-arxiv-physics-instruct
+base_model:
+- lxuechen/phi-2-sft
+- mrm8488/phi-2-coder
+- Walmart-the-bag/phi-2-uncensored
+- ArtifactAI/phi-2-arxiv-physics-instruct
+---
+
+# FrankenPhi2-4x
+
+FrankenPhi2-4x is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [lxuechen/phi-2-sft](https://huggingface.co/lxuechen/phi-2-sft)
+* [mrm8488/phi-2-coder](https://huggingface.co/mrm8488/phi-2-coder)
+* [Walmart-the-bag/phi-2-uncensored](https://huggingface.co/Walmart-the-bag/phi-2-uncensored)
+* [ArtifactAI/phi-2-arxiv-physics-instruct](https://huggingface.co/ArtifactAI/phi-2-arxiv-physics-instruct)
+
+## 🧩 Configuration
+
+```yaml
+base_model: microsoft/phi-2
+experts:
+  - source_model: lxuechen/phi-2-sft
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "tell me"
+    - "explain"
+  - source_model: mrm8488/phi-2-coder
+    positive_prompts:
+    - "code"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+  - source_model: Walmart-the-bag/phi-2-uncensored
+    positive_prompts:
+    - "storywriting"
+    - "write"
+    - "scene"
+    - "story"
+    - "character"
+  - source_model: ArtifactAI/phi-2-arxiv-physics-instruct
+    positive_prompts:
+    - "physics"
+    - "math"
+    - "mathematics"
+    - "solve"
+    - "count"
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "ssands1979/FrankenPhi2-4x"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "microsoft/phi-2",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/phi-2--configuration_phi.PhiConfig",
+    "AutoModelForCausalLM": "microsoft/phi-2--modeling_phi.PhiForCausalLM"
+  },
+  "bos_token_id": null,
+  "embd_pdrop": 0.0,
+  "eos_token_id": null,
+  "hidden_act": "gelu_new",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "num_local_experts": 4,
+  "output_router_logits": false,
+  "partial_rotary_factor": 0.4,
+  "qk_layernorm": false,
+  "resid_pdrop": 0.1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.0",
+  "use_cache": true,
+  "vocab_size": 51200
+}